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DBMS > Apache Impala vs. BoltDB vs. Datastax Enterprise vs. dBASE vs. Heroic

System Properties Comparison Apache Impala vs. BoltDB vs. Datastax Enterprise vs. dBASE vs. Heroic

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBoltDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisondBASE  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embedded key-value store for Go.DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSKey-value storeWide column storeRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score5.93
Rank#56  Overall
#4  Wide column stores
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websiteimpala.apache.orggithub.com/­boltdb/­boltwww.datastax.com/­products/­datastax-enterprisewww.dbase.comgithub.com/­spotify/­heroic
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datastax.comwww.dbase.com/­support/­knowledgebasespotify.github.io/­heroic
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDataStaxAsthon TateSpotify
Initial release20132013201119792014
Current release4.1.0, June 20226.8, April 2020dBASE 2019, 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT LicensecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJavaJava
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
DOS infodBase Classic
Windows infodBase Pro
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesnoyesyesyes infovia Elasticsearch
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like DML and DDL statements (CQL); Spark SQLnono
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
none infoThe IDE can access other DBMS or ODBC-sources.HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
dBase proprietary IDE
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono infoThe IDE can access stored procedures in other database systems.no
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno infoAtomicity and isolation are supported for single operationsno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users can be defined per objectAccess rights for users and roles
More information provided by the system vendor
Apache ImpalaBoltDBDatastax EnterprisedBASEHeroic
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Apache ImpalaBoltDBDatastax EnterprisedBASEHeroic
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